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https://hdl.handle.net/2440/55484
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Type: | Journal article |
Title: | Robust adaptive-scale parametric model estimation for computer vision |
Author: | Wang, H. Suter, D. |
Citation: | IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004; 26(11):1459-1474 |
Publisher: | IEEE Computer Soc |
Issue Date: | 2004 |
ISSN: | 0162-8828 1939-3539 |
Statement of Responsibility: | M. Pathmanathan, C. Tang, W.L. Soong and N. Ertugrul |
Abstract: | Small-scale wind turbines commonly use AC/DC converters such as rectifiers, switched mode rectifiers (SMRs) and inverters. Another power converter, the semi-bridge SMR has been researched for automotive applications, and is utilised by a number of small-scale wind turbine manufacturers. This paper applies a novel modulation technique developed for automotive applications of the semi-bridge SMR for Lundell and interior permanent magnet alternators to small-scale wind turbines utilising surface permanent magnet generators. The performance obtained using the semi-bridge SMR is compared to that obtained using single-switch SMRs and inverters. |
Keywords: | Image Interpretation, Computer-Assisted Image Enhancement Subtraction Technique Cluster Analysis Sensitivity and Specificity Reproducibility of Results Algorithms Feedback Artificial Intelligence Computer Graphics Computer Simulation Numerical Analysis, Computer-Assisted Signal Processing, Computer-Assisted User-Computer Interface Information Storage and Retrieval Pattern Recognition, Automated |
DOI: | 10.1109/TPAMI.2004.109 |
Description (link): | http://ieeexplore.ieee.org/servlet/opac?punumber=4807911 |
Appears in Collections: | Aurora harvest Computer Science publications Environment Institute publications |
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